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    <name>Conference Paper</name>
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              <text>ANN based pattern generation, design and simulation of broadband fractal antenna for wireless applications</text>
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              <text>ANN; Fractal Antenna; HFSS; Iteration; Microstrip; Pattern Generation; Resonance</text>
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              <text>The synthesis of microstrip antenna(MSA) remains complex and time consuming from convenient design point of view. The Artificial Neural Network (ANN) on the other hand provides quicker and accurate solutions while multiple parameters controlling MSA designs. This paper proposes a new type of square fractal antenna (SFA) structure iterated and optimized by ANN developed using Advanced C and simulated using HFSS for optimum resonance characteristics covering 1.6-6.6 GHz frequency range. The motivation behind this work is size reduction of MSAs through FA concept with broadband resonance. It is suggested that the proposed antenna can be a right choice for various wireless applications because of its broadband functionality.  2016 IEEE.</text>
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          <name>Creator</name>
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              <text>Suganthi S.; Raghavan S.</text>
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              <text>1st International Conference on Emerging Trends in Engineering, Technology and Science, ICETETS 2016 - Proceedings</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          <name>Date</name>
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              <text>2016-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICETETS.2016.7603037" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICETETS.2016.7603037&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997216960&amp;amp;doi=10.1109%2FICETETS.2016.7603037&amp;amp;partnerID=40&amp;amp;md5=5ff2d26c64add76550d6dcd004b508a3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997216960&amp;amp;doi=10.1109%2fICETETS.2016.7603037&amp;amp;partnerID=40&amp;amp;md5=5ff2d26c64add76550d6dcd004b508a3&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-146736725-7</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Suganthi S., Dept. of ECE, Christ University, Bengaluru, India; Raghavan S., Dept. of ECE, NIT, Trichy, India</text>
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